PTID: an integrated web resource and computational tool for agrochemical discovery

Area of Science:

• Agrochemical research
• Computational chemistry
• Bioinformatics

Background:

• In silico drug discovery is vital for pharmaceuticals but underutilized in agrochemicals due to data scarcity.
• A comprehensive knowledge base for pesticides, including properties, environmental fate, toxicity, and mode of action, is needed.
• Existing computational methods lack sufficient data for pesticides and their targets.

Purpose of the Study:

• To develop an integrated platform for pesticide-target interactions.
• To facilitate computer-aided discovery of novel agrochemical products.
• To overcome data limitations in computational agrochemical research.

Main Methods:

• Developed the Pesticide-Target interaction database (PTID).
• Integrated 1347 pesticides with ecotoxicological and toxicological data.
• Utilized text mining for 13,738 pesticide-target interactions and 4,245 protein terms.
• Integrated ChemMapper for polypharmacology analysis.

Main Results:

• PTID contains data for 1347 pesticides.
• PTID includes 13,738 pesticide-target interactions and 4,245 protein terms.
• The platform facilitates identification of pesticide targets.
• PTID supports the design of novel agrochemical products.

Conclusions:

• PTID is a valuable computational platform for agrochemical research.
• The database addresses the critical need for comprehensive pesticide data.
• PTID enhances the potential of in silico approaches in the agrochemical industry.